Evidence map›Paper›PMID 38447114›Full record

ArticleBlood advances2024

Mutations in myeloid transcription factors and activated signaling genes predict chronic myeloid leukemia outcomes.

Maria Agustina Perusini, Daniela Žáčková, Taehyung Kim, Katia Pagnano, Carolina Pavlovsky, Ivana Ježíšková, Anežka Kvetková, Tomáš Jurček, Jaeyoon Kim, Youngseok Yoo and 12 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. ConcurrentEJHaem · 2026
    Article
  5. Review
  6. Article
  7. Epigenetic alterations in Myeloid Malignancies.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. Observational
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 5 institutions in 4 countries.

Maria Agustina PerusiniDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Daniela ŽáčkováDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic.ORCID 0000-0001-9802-8148
Taehyung KimDepartment of Computer Science, University of Toronto, Toronto, ON, Canada.
Katia PagnanoHematology and Hemotherapy Center, University of Campinas, Campinas, Brazil.ORCID 0000-0001-7975-0805
Carolina PavlovskyFundaleu, Buenos Aires, Argentina.
Ivana JežíškováDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic.ORCID 0000-0001-8760-7718
Anežka KvetkováDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic.
Tomáš JurčekDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic.
Jaeyoon KimDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Youngseok YooDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Seongyoon YiDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Hyewon LeeDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Kyoung Ha KimDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Myunghee ChangDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Jose-Mario Capo-ChichiGenome Diagnostics & Cancer Cytogenetics Laboratories, Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada.ORCID 0000-0002-7440-3633
Jessie J F MedeirosOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0001-6597-4613
Andrea ArrudaDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Mark MindenDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.ORCID 0000-0002-9089-8816
Zhaolei ZhangThe Donnelly Centre for Cellular and Biomolecular Research, Donnelly Centre for Cellular & Biomolecular Research, Toronto, ON, Canada.
Sagi AbelsonOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0003-1747-3819
Jiri MayerDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic.
Dennis Dong Hwan KimDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Princess Margaret Cancer Centre · CAMasaryk University · CZUniversity of Toronto · CAOntario Institute for Cancer Research · CAUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractAdvancements in genomics are transforming the clinical management of chronic myeloid leukemia (CML) toward precision medicine. The impact of somatic mutations on treatment outcomes is still under debate. We studied the association of somatic mutations in epigenetic modifier genes and activated signaling/myeloid transcription factors (AS/MTFs) with disease progression and treatment failure in patients with CML after tyrosine kinase inhibitor (TKI) therapy. A total of 394 CML samples were sequenced, including 254 samples collected at initial diagnosis and 140 samples taken during follow-up. Single-molecule molecular inversion probe (smMIP)-based next-generation sequencing (NGS) was conducted targeting recurrently mutated loci in 40 genes, with a limit of detection of 0.2%. Seventy mutations were detected in 57 diagnostic samples (22.4%), whereas 64 mutations were detected in 39 of the follow-up samples (27.9%). Carrying any mutation at initial diagnosis was associated with worse outcomes after TKI therapy, particularly in AS/MTF genes. Patients having these mutations at initial diagnosis and treated with imatinib showed higher risks of treatment failure (hazard ratio, 2.53; 95% confidence interval, 1.13-5.66; P = .0239). The adverse prognostic impact of the mutations was not clear for patients treated with second-generation TKIs. The multivariate analysis affirmed that mutations in AS/MTF genes independently serve as adverse prognostic factors for molecular response, failure-free survival, and progression risk. Additionally, there was an observable nonsignificant trend indicating a heightened risk of progression to advanced disease and worse overall survival. In conclusion, mutations in the AS/MTF genes using smMIP-based NGS can help identify patients with a potential risk of both treatment failure and progression and may help upfront TKI selection.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveMutationAdultAgedAged, 80 and overDisease ProgressionFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrognosisProtein Kinase InhibitorsSignal TransductionTranscription FactorsTreatment OutcomeProtein Kinase InhibitorsTranscription Factors

Identifiers

PMID38447114
PMCPMC11127220
OpenAlexW4392501727

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.